Design and Implementation of a Blind Spot Detection and Monitoring System for the Kayoola Buses

Abstract

Blind Spots are regions around vehicle that cannot be viewed by a driver while using rear view and side mirrors. They are a major contributing factor to road traffic incidents around the world. Changing lanes or negotiating a turn in a congested area while having no information about the objects in the blind spot area can be dangerous. It is particularly hard for drivers of the largest vehicles to see everything around them but the consequences of missing an obstruction could be catastrophic.

As public transport operators operate on increasingly crowded roads, drivers need to help in eliminating blind spots and highlight potential collisions before they occur. The Kayoola Buses, developed by KMC potentially falls in this category. It is important that such locally developed transport solutions integrate navigation aids for object recognition in blind spots so as to reduce the likelihoods of RTIs.

This project is focused on the Design and Implementation of a Blind Spot Detection and Monitoring System for Kayoola buses. The system is characterized by a hardware sub-system that measures gathers information such as motion of a vehicle, range of object in blind spot area to vehicle as well as video feed of the object. All this information is processed within the software sub-system so as to provide a driver with information of the object in the blind spot region.